It's funny you use Radar as an example of 'good sensor' while it is well known that most or maybe almost all?) of the stationary vehicle accidents you're talking about happened because of Radars inability to detect a stationary obstacle.
On the other hand, RGB data does have that information, we use it everyday to avoid obstacles, even under foggy and rainy conditions (I'm no LIDAR expert but I know it sucks in rainy conditions)
I am not saying I support a vision only stack, but all I am saying is it is certainly possible to deploy a vision only stack in the future.
You mean some radars inability to detect stationary obstacles. Clutter rejection has a lot of more sophisticated algorithms to apply with greater compute power to throw at the problem.
These were flat truck/ambulance surfaces encountered at an angle - exactly the conditions that the first stealth fighter, with its angular surfaces used to evade some of the best radar in the world, because from most angles, no radio waves would be reflected back to the radar sensing device. It's hard to get the job done with nothing.
> Therefore, for this simple ADAS algorithm using roof mounted LIDAR, heavy rain does not prove to be a particularly important factor in the system performance.
On the other hand, RGB data does have that information, we use it everyday to avoid obstacles, even under foggy and rainy conditions (I'm no LIDAR expert but I know it sucks in rainy conditions)
I am not saying I support a vision only stack, but all I am saying is it is certainly possible to deploy a vision only stack in the future.